Google BigQuery JDBC Driver
 
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Google BigQuery JDBC Driver

Easily connect live BigQuery data with Java-based BI, ETL, Reporting, AI/ML & Custom Apps.

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The BigQuery JDBC Driver enables users to connect with live BigQuery data, directly from any applications that support JDBC connectivity. Rapidly create and deploy powerful Java applications that integrate with Google BigQuery data including Tables and Datasets.

JDBC architecture

BigQuery JDBC Connectivity Features

  • Supports BigQuery Standard and Legacy SQL dialects
  • Industry-leading performance for reading and writing large datasets.
  • Connect to live Google BigQuery data, for real-time data access with the Google BigQuery ODBC Driver
  • Full support for data aggregation and complex JOINs in SQL queries
  • Secure connectivity through modern cryptography, including TLS 1.2, SHA-256, ECC, etc.
  • Seamless integration with leading BI, reporting, and ETL tools and with custom applications via the BigQuery Connector.

Target Service, API

The driver supports Google BigQuery's version 2.0 Web services API and uses BigQuery's standard and legacy SQL dialects. The driver provides access to BigQuery datasets with high-performance storage integration and reservations management features.

Schema, Data Model

The driver models BigQuery data as relational tables with dynamic metadata discovery. It supports automatic schema detection including ARRAY and STRUCT data types (rendered as JSON). The driver can automatically create destination tables when needed for large result sets and supports both nested and unnested data modes.

Key Objects

BigQuery Datasets, Tables, Views, and custom queries. The driver exposes both static and dynamic data and metadata, providing universal access to all BigQuery objects including system tables for additional metadata access.

Operations

Full CRUD operations with comprehensive ANSI SQL-92 support including SELECT, INSERT, UPDATE, DELETE. Supports complex JOINs, aggregations, and filtering with query pushdown optimization. Offers bulk operations through various insert modes (Streaming API, Upload, GCSStaging) and supports bulk UPDATE/DELETE via MERGE operations. Stored procedures available for managing schemas and change tracking.

Authentication

Supports multiple authentication methods including OAuth 2.0 (with embedded credentials), OAuth Client credentials, Service Account authentication with JWT, Azure AD, Azure Service Principal, and Azure Managed Service Identity. Also supports headless OAuth flow for server environments.

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BigQuery JDBC Driver Download

JDBC Access to Google BigQuery

Full-featured and consistent SQL access to any supported data source through JDBC

  • Certified Compatibility*

    Our drivers undergo extensive testing and are certified to be compatible with leading analytics and reporting applications like SAP Crystal Reports, Pentaho, Business Objects, Crystal Reports and many more.

  • Metadata Discovery

    Full support for JDBC DatabaseMetaData provides extensive schema discovery capabilities. Explore tables, columns, keys, and other data constructs based on user identity.

  • Developer Friendly

    Design-time support for all major Java IDEs, including Eclipse, IntelliJ, and NetBeans.

  • JDBC Remoting

    Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java, .NET, C++, PHP, Python), using any standards-based technology (ODBC, JDBC, etc.). JDBC Remoting is enabled using the popular MySQL wire protocol server.

  • Replication and Caching

    Our replication and caching commands make it easy to copy data to local and cloud data stores such as Oracle, SQL Server, Google Cloud SQL, etc. The replication commands include many features that allow for intelligent incremental updates to cached data.

  • String, Date, Numeric SQL Functions

    The driver includes a library of over 50 functions that can manipulate column values into the desired result. Popular examples include Regex, JSON, and XML processing functions.

  • Collaborative Query Processing

    Our drivers enhance the data source's capabilities by additional client-side processing, when needed, to enable analytic summaries of data such as SUM, AVG, MAX, MIN, etc.

  • Easily Customizable and Configurable

    The data model exposed by our JDBC Drivers can easily be customized to add or remove tables/columns, change data types, etc. without requiring a new build. These customizations are supported at runtime using human-readable schema files that are easy to edit.

  • Secure Connectivity

    Includes standard Enterprise-class security features such as TLS/ SSL data encryption for all client-server communications.

See what you can do with BigQuery JDBC Driver

ETL, Data Warehouse
Data Integration & ETL

Integrate BigQuery into your systems and data warehouses through popular Java-based ETL/EAI tools. Supports both self-hosted environments and cloud service deployment.

and more
BI, Reporting, Virtualization
BI, Reporting & Data Virtualization

Connect to BigQuery from any JDBC-compatible BI, reporting, and data virtualization platform. Provides seamless integration using SQL as the standard query interface across all tools.

and more
Custom Java Applications
Custom Java Applications

Use the BigQuery JDBC Driver to rapidly deliver Java-based applications that connect with BigQuery. Universal SQL-based interactivity simplifies integration and speeds time to market.

and more

Connect to BigQuery — empower every team


Management & Data Consumer Team

  • CData JDBC Drivers for BigQuery will act as if it is a native connector for you ETL, BI, Data Virtualization tool.
  • Organizations can connect to the new services to capture full view of business, or migrate to modern data technology while maintaining the connection to existing sytems.
  • Speed up your AI initiative with CData. Connect your data with the AI / ML platform of your choice.

Need to integrate your internal systems with BigQuery? CData JDBC Drivers let you do it easily. Java based applications can easily connect to BigQuery with SQL/JDBC — any ETL, EAI (Enterprise Application Integration), ESB (Enterpriese Service Bus) can connect to BigQuery.

  • Embed CData JDBC Drivers for BigQuery to your product and differentiate with your connectivity
  • Standard SQL access. Stop researching on different authentication, data model and query methods.
  • Utilize your resource to build your product, CData takes care of your connectivity
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Management & Data Consumer
IT Department
ISVs & cloud service vendors

Frequently Asked BigQuery JDBC Driver Questions

Learn more about BigQuery JDBC drivers for data and analytics integration

Yes, BigQuery can be used with Java . CData provides a JDBC type 4/5 driver for BigQuery that allows Java applications to connect to BigQuery using standard JDBC APIs. This driver enables you to execute SQL queries, manage connections, and process data stored in BigQuery from Java, or any Java-based application that supports JDBC.

Not natively. However, CData offers a JDBC driver for BigQuery that allows you to connect to BigQuery data from any Java-based application that supports JDBC, just like you would access a traditional database. This can be useful for tasks like:

  • Accessing BigQuery from applications: Connect to BigQuery data in popular tools and applications including Informatica, Talend, Apache Spark, Apache NiFi, and many others.
  • Real-time data: You can work with live BigQuery data within these applications, enabling tasks like reporting and analysis.
  • Connecting systems: Build data integrations between BigQuery and other systems.

The BigQuery JDBC driver is a pure Java type 4/5 driver with comprehensive ANSI SQL-92 support. This means that virtually any application that can connect to data via JDBC, can use the CData JDBC driver for real-time integration. Download a fully functional free trial of the BigQuery JDBC driver today to get started.

Yes, the CData JDBC driver for BigQuery provides universal JDBC data connectivity for BigQuery. The BigQuery JDBC driver offers a simple SQL-based layer of abstraction that simplifies real-time data access for users and applications, enabling them to communicate with BigQuery using a standardized set of functions. Virtually any application on any platform can use the CData JDBC driver for real-time integration.

Connectivity to BigQuery via JDBC is easy. First, download and install the BigQuery JDBC driver.

Once the installation is complete, navigate to the JDBC driver documentation page. Here, you'll find a wealth of information about the installed driver. The step-by-step instructions for creating a DSN and using it to connect to BigQuery via JDBC are just the beginning. The documentation also provides extensive configuration details for using the BigQuery JDBC driver with all your favorite applications and development tools, ensuring you have all the support you need.

All of the CData JDBC drivers, including the BigQuery JDBC driver are available for download online. To get started, download a fully functional free trial of the BigQuery JDBC driver today.

To install the BigQuery driver, simply download one of the BigQuery JDBC driver installers available online. The installers are comprehensive setup utilities that will install all the components required to use the BigQuery JDBC driver on your system.

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